城市轨道交通车站集散能力瓶颈识别方法研究

城市轨道交通车站集散能力瓶颈会导致车站内部分区域出现严重的客流拥堵现象,降低车站集散效能,影响乘客出行效率和安全。在分析城市轨道交通车站集散能力瓶颈内涵和成因的基础上,提出了基于拥堵强度的瓶颈识别方法。构建基于累计 Logistic 回归的拥堵强度判别模型,结合调查数据对模型进行参数标定和验证。以北京地铁东直门站为例,结合 Anylogic 动态仿真,验证了模型的有效性,表明该模型能够准确、实时地识别出城市轨道交通车站集散能力瓶颈。 

Bottleneck Identification for the Gathering and Distributing Capacity of Urban Rail Transit Station

The bottleneck for the gathering and distributing capacity of urban rail transit station leads to serious passenger traffic congestion and reduces the distribution performance of stations ,which affects the efficiency and safety of passenger travel .Based on the full analysis of the connotation and cause of the gathering and distributing capacity bottle-neck of urban rail transit station ,the bottleneck identification method based on the congestion level is put forward .First-ly ,the cumulative Logistic regression based on a congestion level measurement model is built .Then ,the model is calibra-ted and validated with the survey data .Finally ,by taking Beijing Dongzhimen Rail Transit Station as the study site ,the validity of the model is verified by using Anylogic dynamic simulation .Results show that the model can accurately reflect the bottleneck of the gathering and distributing capacity of urban rail transit station in real time .